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20182025
most citedTime Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering

103 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2021★ 103 cited

Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering

Cheng Feng, Pengwei Tian

Recent advances in AIoT technologies have led to an increasing popularity of utilizing machine learning algorithms to detect operational failures for cyber-physical systems (CPS).…

cs.LG2021★ 27 cited

System Design for a Data-driven and Explainable Customer Sentiment Monitor

An Nguyen, Stefan Foerstel, Thomas Kittler +8

The most important goal of customer services is to keep the customer satisfied. However, service resources are always limited and must be prioritized. Therefore, it is important to…